111 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "UNIV" Postdoctoral positions at University of Oxford
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on patient perspectives and aims to understand the information older people need about the harms and benefits of prostate specific antigen (PSA) testing (ProsDetect II). The second project addresses challenges
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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of human samples collected as part of this clinical trial must comply with the Medicines for Human Use (Clinical Trials) Regulations 2004 and will provide the primary endpoint data that will dictate
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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presenting data, and overseeing day-to-day organisation and compliance of the laboratory. This post is available from 01 May 2026 and is fixed-term for 2 years. Key responsibilities: Manage own research and
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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field